Remember: The returns an asset made in the past don't mean that future returns will be the same.
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  • The Interpreter

    Hi Friend, The Interpreter here. Here are all the backtests I have performed within "General Electric Co (GE)"

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    Please select the "Detailed View" button to see how it performs!

Find The Lastest Buy Signals for GE Below.



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Algorithms Results since Jan/2010


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Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999984 Laura (#1) 24.9 102 0.3 12 60.8 %
999986 Jesse (#2) 21.3 275 0.1 5 61.5 %
999982 Madison (#3) 25.2 48 0.5 24 66.7 %
999989 Kaitlyn (#4) 17.4 111 0.2 11 60.4 %
999974 Mary (#5) 26.3 24 1.1 49 95.8 %
999979 Sarah (#6) 25.2 11 2.3 107 81.8 %
999989 Amber (#7) 15.4 123 0.1 10 65.9 %
999990 Jessica (#8) 13.8 158 0.1 8 63.9 %
999993 John (#9) 10.1 122 0.1 10 63.1 %
999980 Morgan (#10) 19.7 17 1.2 67 94.1 %
999981 Haley (#11) 18.8 15 1.3 76 93.3 %
999985 Samantha (#12) 16.8 13 1.3 90 84.6 %
999986 Kimberly (#13) 13.9 25 0.6 46 96.0 %
999994 Kelsey (#14) 7.2 43 0.2 25 67.4 %
999993 Rebecca (#15) 9.4 21 0.4 51 71.4 %
999989 Patrick (#16) 11.4 14 0.8 82 92.9 %
999988 Samuel (#17) 12.1 12 1.0 96 91.7 %
999995 Adam (#18) 6.4 117 0.1 10 67.5 %
999992 Nicholas (#19) 10.7 42 0.3 27 61.9 %
999997 Justin (#20) 3.3 164 0.0 7 57.9 %
999994 Cody (#21) 5.7 28 0.2 39 75.0 %
999995 Lauren (#22) 5.8 64 0.1 18 60.9 %
999992 Megan (#23) 11.1 63 0.2 18 60.3 %
999992 Joshua (#24) 7.8 27 0.3 43 85.2 %
999998 Andrew (#25) 0.7 96 0.0 12 69.8 %
999987 Hannah (#26) 13.1 17 0.8 74 94.1 %
999993 Benjamin (#27) 6.8 32 0.2 34 90.6 %
999998 Cameron (#28) 1.1 36 0.0 30 72.2 %
999995 Alyssa (#29) 5.4 38 0.1 29 86.8 %
999999 Christina (#30) -0.2 52 0.0 22 65.4 %
999998 Abigail (#31) 1.3 140 0.0 9 67.1 %
999998 Joseph (#32) 1.6 35 0.1 31 68.6 %
1000000 Kayla (#33) -0.8 60 -0.0 19 63.3 %
1000001 Brian (#34) -2.6 72 -0.0 16 66.7 %
1000000 Brianna (#35) -0.8 61 -0.0 19 65.6 %
1000000 Kevin (#36) -0.5 31 -0.0 35 77.4 %
999999 Maria (#37) 0.1 36 0.0 30 63.9 %
999998 Michelle (#38) 1.0 19 0.1 57 79.0 %
1000000 Mark (#39) -1.2 22 -0.1 50 72.7 %
999999 Charles (#40) 0.4 29 0.0 40 79.3 %
999992 Daniel (#41) 7.1 20 0.4 67 95.0 %
1000001 Nicole (#42) -2.7 24 -0.1 44 54.2 %
1000000 David (#43) -1.8 27 -0.1 41 70.4 %
1000002 Christopher (#44) -3.7 37 -0.1 30 64.9 %
1000003 Anna (#45) -6.3 74 -0.1 16 70.3 %
999993 Emily (#46) 6.4 17 0.4 77 94.1 %
999998 Robert (#47) 0.5 12 0.1 95 83.3 %
1000004 Aaron (#48) -7.2 174 -0.0 7 66.1 %
1000001 Melissa (#49) -2.9 39 -0.1 29 53.9 %
1000004 Ashley (#50) -7.9 43 -0.2 25 67.4 %
1000004 Brittany (#51) -6.9 45 -0.2 25 66.7 %
1000001 Michael (#52) -3.3 24 -0.1 45 58.3 %
1000005 Jordan (#53) -9.8 66 -0.2 18 60.6 %
999997 Jacob (#54) 1.7 13 0.2 103 92.3 %
1000006 Jonathan (#55) -10.3 90 -0.1 13 66.7 %
1000000 Elizabeth (#56) -0.7 17 -0.1 68 76.5 %
1000002 Chelsea (#57) -3.1 25 -0.1 49 88.0 %
1000001 Erin (#58) -3.1 17 -0.2 70 82.4 %
1000007 Jose (#59) -11.9 46 -0.3 24 69.6 %
1000006 Austin (#60) -9.0 33 -0.3 35 78.8 %
1000003 Courtney (#61) -5.3 25 -0.2 47 80.0 %
1000001 Dylan (#62) -3.0 21 -0.1 58 76.2 %
1000009 Katherine (#63) -15.5 74 -0.2 16 62.2 %
1000011 Alexander (#64) -16.7 90 -0.2 13 70.0 %
1000007 Richard (#65) -11.1 14 -0.8 85 71.4 %
1000010 James (#66) -12.1 10 -1.2 121 90.0 %
1000012 Allison (#67) -16.8 41 -0.4 28 75.6 %
1000010 Olivia (#68) -15.7 16 -1.0 74 68.8 %
1000013 Alexis (#69) -22.3 50 -0.4 22 64.0 %
1000014 Anthony (#70) -23.6 57 -0.4 20 63.2 %
1000016 Alexandra (#71) -24.5 69 -0.4 16 71.0 %
1000016 Heather (#72) -20.5 6 -3.5 216 83.3 %
1000017 Brandon (#73) -18.7 17 -1.1 71 94.1 %
1000020 Eric (#74) -24.0 7 -3.4 168 85.7 %
1000023 Jason (#75) -28.3 7 -4.0 166 85.7 %
1000024 Danielle (#76) -28.4 9 -3.1 132 88.9 %
1000025 Amanda (#77) -27.3 19 -1.4 63 94.7 %
1000028 Kyle (#78) -30.8 15 -2.1 79 93.3 %
1000025 Juan (#79) -30.3 16 -1.9 75 87.5 %
1000028 Christian (#80) -32.6 9 -3.7 132 88.9 %
1000033 Matthew (#81) -38.6 8 -4.9 149 87.5 %
1000032 Nathan (#82) -40.2 6 -6.7 197 83.3 %
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